Outfit recommendation using recurrent neural networks
US10614342B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 11, 2017 |
| Grant date | Apr 7, 2020 |
| Priority date | — |
| Expiry date | Jun 4, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are generally described for performing outfit recommendation using a recurrent neural network. In various examples, a computing device may receive a first state vector representing an outfit comprising at least one article of clothing. First image data depicting a second article of clothing of a first clothing category may be received. A recurrent neural network may generate a first output feature vector based on the first state vector, the first image data and the first clothing category. The first output feature vector may be compared to other feature vectors representing other articles of clothing in the first category to determine distances between the first output feature vector and the other feature vectors. A set of articles of clothing may be recommended based on the distances between the first output feature vector and the other feature vectors.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.